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Project dossier

Vivik — Voice AI orchestration for transactional enterprise workloads

Vivik embodies Bajpai Labs' obsession with bridging conversational surfaces and deterministic infrastructure—turning stochastic speech decoding into audited, schema-bound actions that hydrate CRMs, calendars, hospitality PMS systems, FHIR-aligned intake flows, Kafka topics, PostgreSQL fleets, or bespoke microservices behind mutual TLS gateways.

Capability matrix

  • Autonomous conversational agents

    Stateful dialogue managers with multilingual coverage, hallucination clamps, escalation routing, jitter-aware telephony ingestion, observability breadcrumbs, replay-friendly transcripts.

  • Speech → structured ontology

    Calibration loops map spoken slots to validated JSON payloads with locale-aware parsers, deterministic confirmation gates, anomaly surfacing before HTTP emission.

  • Workflow execution & webhook mesh

    Composable POST/PATCH choreography, hashed webhook secrets, idempotent retries with exponential backoff—compatible with Zapier substitutes, Temporal-style orchestrators where clients demand them.

  • Developer-first AI infrastructure

    Sandbox harnesses mirror production speech policies; OpenAPI-friendly contracts shorten integration timelines; OTLP-aligned traces export to Grafana, Honeycomb-compatible sinks, Elastic stacks.

Systems manifesto

Research-grade AI engineering rejects ornamental chat wrappers. Vivik embraces evaluation harnesses, shadow traffic canaries, policy-as-code guardrails, and regression suites that scrutinize multilingual misalignment before production traffic observes them—positioning Bajpai Labs as an AI infrastructure nucleus for autonomy, telemetry, orchestration pipelines, quantization-aware backends, quantum-inspired optimizers, and enterprise SLA culture.

Developer FAQ — API & integration depth

Vivik FAQs

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